Safety · Tencent

Hunyuan-Large on TruthfulQA: score, rank and what it means

Hunyuan-Large scores 80.9 on TruthfulQA, placing it #160 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
80.9
0–100 scale
Rank
#160
of 600
Percentile
73th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
10.2
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Hunyuan-Large highlighted. Longer bars mean higher scores.

GPT-5.1 Max 91.1
Gemini 3 Pro Reasoning 90.3
GPT-5.1 Reasoning 90.0
GPT-5.2 Pro 90.0
GPT-5.2 89.7
Gemini 3 Pro Max 89.6
Grok 4 Reasoning 89.4
Qwen3-Max Max 89.3
GPT-5.1 89.2
GPT-5.1 Turbo 89.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
2 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
3 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
4 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
7 Grok 4 Reasoning xAI 2000000 $19.67 87.8
8 Qwen3-Max Max Alibaba Cloud 400000 $18.53 85.9
9 GPT-5.1 OpenAI 2000000 $19.01 86.0
10 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1

What this score means

On TruthfulQA, Hunyuan-Large sits at #160 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 10.2 points. The median model in this index scores 76.3, which puts Hunyuan-Large above the midpoint.

Tencent models average 74.1 on this benchmark. Hunyuan-Large is 6.8 points above that provider line, so it is a stronger result than the average Tencent model.

Among multimodal models, the average is 80.1. Hunyuan-Large is 0.8 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 80.9 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $4.33 per million input tokens, Hunyuan-Large is above the median input price of $4.00 across the 600 models scored on TruthfulQA. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3.1 Turbo Instruct Together AI 32768 $4.21 76.7
Mistral Large 3 Base Mistral AI 65536 $4.47 78.2
Qwen3-Coder Instruct Alibaba Cloud 128000 $4.66 78.1
Doubao 1.5 Pro Turbo ByteDance 128000 $13.81 79.4
Hunyuan-Large Tencent 65536 $4.33 78.2
Hunyuan-Turbo Max Tencent 128000 $12.40 78.3
Qwen3-Coder Base Alibaba Cloud 200000 $3.99 76.6

Other benchmarks for Hunyuan-Large

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.7 157 74th
GPQA Diamond 75.0 146 76th
SWE-bench Verified 67.8 149 75th
HumanEval 82.1 184 69th
MATH-500 83.1 145 76th
AIME 2025 74.3 170 72th
LiveCodeBench 71.8 151 75th
IFEval 84.4 204 66th
HellaSwag 84.6 262 56th
MMMU 75.7 143 76th
Arena Elo 1394.8 230 62th

FAQ

What score does Hunyuan-Large get on TruthfulQA?

Hunyuan-Large scores 80.9 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Hunyuan-Large rank on TruthfulQA?

It ranks #160 of 600 models, in the 73rd percentile. The leader is GPT-5.1 Max at 91.1.

Is Hunyuan-Large good at TruthfulQA?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the TruthfulQA score calculated?

TruthfulQA is a safety benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does Hunyuan-Large cost?

Hunyuan-Large costs $4.33 per million input tokens and $20.11 per million output tokens.

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